mlf-core: a framework for deterministic machine learning

MOTIVATION: Machine learning has shown extensive growth in recent years and is now routinely applied to sensitive areas. To allow appropriate verification of predictive models before deployment, models must be deterministic. Solely fixing all random seeds is not sufficient for deterministic machine...

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Detalles Bibliográficos
Autores principales: Heumos, Lukas, Ehmele, Philipp, Kuhn Cuellar, Luis, Menden, Kevin, Miller, Edmund, Lemke, Steffen, Gabernet, Gisela, Nahnsen, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089676/
https://www.ncbi.nlm.nih.gov/pubmed/37004171
http://dx.doi.org/10.1093/bioinformatics/btad164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089676/
https://www.ncbi.nlm.nih.gov/pubmed/37004171
http://dx.doi.org/10.1093/bioinformatics/btad164

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